Evidence map›Paper›PMID 40138682›Full record

ArticleJMIR formative research2025

Stigma and Behavior Change Techniques in Substance Use Recovery: Qualitative Study of Social Media Narratives.

Annie T Chen, Lexie C Wang, Shana Johnny, Sharon H Wong, Rahul K Chaliparambil, Mike Conway, Joseph E Glass

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Annie T ChenDepartment of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, WA, United States.ORCID 0000-0003-3070-8336
Lexie C WangDepartment of Linguistics, University of Washington, Seattle, WA, United States.ORCID 0009-0002-9463-0769
Shana JohnnySchool of Nursing, University of Washington, Seattle, WA, United States.ORCID 0000-0003-3516-9730
Sharon H WongDepartment of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, WA, United States.ORCID 0009-0008-1811-0722
Rahul K ChaliparambilNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID 0000-0002-4345-5393
Mike ConwaySchool of Computing and Information Systems, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-3209-8108
Joseph E GlassKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0002-2923-3698

Funding

Using Narratives to Identify Stigma Phenotypes - A Socio-Ecological ApproachR21DA056684 · NIDA · UNIVERSITY OF WASHINGTON · PI CHEN, ANNIE · 2022 to 2023
$489k
NIDA NIH HHS R21 DA056684
6 · The paper itself

Abstract

backgroundExisting literature shows that persons with substance use disorder (SUD) experience different stages of readiness to reduce or abstain from substance use, and tailoring intervention change strategies to these stages may facilitate recovery. Moreover, stigma may serve as a barrier to recovery by preventing persons with SUDs from seeking treatment. In recent years, the behavior change technique (BCT) taxonomy has increasingly become useful for identifying potential efficacious intervention components; however, prior literature has not addressed the extent to which these techniques may naturally be used to recover from substance use, and knowledge of this may be useful in the design of future interventions.

objectiveWe take a three-step approach to identifying strategies to facilitate substance use recovery: (1) characterizing the extent to which stages of change are expressed in social media data, (2) identifying BCTs used by persons at different stages of change, and (3) exploring the role that stigma plays in recovery journeys.

methodsWe collected discussion posts from Reddit, a popular social networking site, and identified subreddits or discussion forums about 3 substances (alcohol, cannabis, and opioids). We then performed qualitative data analysis using a hybrid inductive-deductive method to identify the stages of change in social media authors' recovery journeys, the techniques that social media content authors used as they sought to quit substance use, and the role that stigma played in social media authors' recovery journeys.

resultsWe examined 748 posts pertaining to 3 substances: alcohol (n=316, 42.2%), cannabis (n=335, 44.8%), and opioids (n=135, 18%). Social media content representing the different stages of change was observed, with the majority (472/748, 63.1%) of narratives representing the action stage. In total, 11 categories of BCTs were identified. There were similarities in BCT use across precontemplation, contemplation, and preparation stages, with social support seeking and awareness of natural consequences being the most common. As people sought to quit or reduce their use of substances (action stage), we observed a variety of BCTs, such as the repetition and substitution of healthful behaviors and monitoring and receiving feedback on their own behavior. In the maintenance stage, reports of diverse BCTs continue to be frequent, but offers of social support also become more common than in previous stages. Stigma was present throughout all stages. We present 5 major themes pertaining to the manifestation of stigma.

conclusionsPatterns of BCT use and stigmatizing experiences are frequently discussed in social media, which can be leveraged to better understand the natural course of recovery from SUD and how interventions might facilitate recovery from substance use. It may be important to incorporate stigma reduction across all stages of the recovery journey.

Indexed as

Behavior TherapySocial MediaSocial StigmaSubstance-Related DisordersFemaleHumansInternetMaleQualitative ResearchSocial Supportbehavior change techniquessocial mediastigmasubstance usetranstheoretical model

Identifiers

PMID40138682
PMCPMC11982763

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.